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Vangaveti NikhilVN
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Vangaveti Nikhil

@vangavetinikhil

I build applied AI systems for analytics, computer vision, and intelligent automation.

India
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What I'm looking for

I'm looking for opportunities to build practical AI, generative AI, computer vision, data analytics, or data engineering products using Python, SQL, LLMs, and scalable data workflows.

At Tekskills Inc, I cleaned and analyzed real-world datasets, built interactive Power BI and Microsoft Fabric dashboards, and designed scalable PySpark and SQL ETL workflows for datasets exceeding one million rows.

I've built AI products including DietFit, a multi-agent diet and fitness advisor using LangGraph, Gemini, Groq, USDA FoodData Central, and Streamlit. I also created a RAG-powered GitHub Repository Analyzer that enables codebase Q&A, automated code review, git analytics, and multi-user deployment on Hugging Face Spaces.

My published project, Fix My Way, applies YOLOv8 and OpenCV to real-time pothole detection, achieving 85–88% detection accuracy. I presented the work at AITA 2025 and also led a four-person team building a real-time lane detection system.

Experience

Work history, roles, and key accomplishments

TI

Artificial Intelligence Intern

Tekskills Inc

Oct 2025 - Dec 2025 (2 months)

Executed data cleaning, preprocessing, and exploratory data analysis on 5+ real-world datasets using Python and SQL. Created and deployed 3 interactive dashboards using Microsoft Fabric and Power BI, and implemented 10+ analytical metrics using DAX.

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology logoVT

Vellore Institute of Technology

Integrated Master of Technology, Computer Science and Engineering (Artificial Intelligence)

2022 -

Grade: 7.92/10

Pursuing an Integrated M.Tech in Computer Science and Engineering with a specialization in Artificial Intelligence. Achieved a CGPA of 7.92/10.

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